A practical, skill-based introduction to data analysis and literacy We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User's Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today’s world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.
Develop the curiosity, creativity and critical thinking needed to confidently interpret, analyze and communicate with data in the workplace.
Written by a founding pioneer and worldwide leading expert on data literacy, this book empowers professionals with the skills they need to succeed in the digital world.
Data Literacy Fundamentals covers foundational topics such as the overall goal of data, various ways of measuring and categorizing the world, five different forms of data analysis and when they apply, pros and cons related to how we display ...
The book offers a clear path for change while also addressing the inherent complexities associated with change.
This book is associated with the 'Data Literacy Level 1' on-demand online course: https://dataliteracy.com/courses/data-literacy-level-1 For most of us, it's rare to go a full day without coming across data in the form of a chart, map or ...
" ... Teaches you how to help your students collect, summarize, and analyze data inside and outside the classroom"--Cover, page [4].
Organizations are waking up to the reality that in order to become more data-driven, they need to attract and develop highly data literate team members.
The book concludes with recommendations for future directions and growth of data information literacy. More information about the DIL project can be found on the project's website: datainfolit.org.
Surveillance capitalists control behavior by exploiting people's low data literacy. Three things increase the magnitude of the challenge: Data volume continues faster than we can process.
With an evidence-based framework to guide you, this book lays out a roadmap to ensure you get where you need to go.